Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.

Journal: Medical physics
Published Date: Jul 1, 2023

Abstract

BACKGROUND: Artificial intelligence-based methods have generated substantial interest in nuclear medicine. An area of significant interest has been the use of deep-learning (DL)-based approaches for denoising images acquired with lower doses, shorter acquisition times, or both. Objective evaluation of these approaches is essential for clinical application.

Authors

  • Zitong Yu
  • Md Ashequr Rahman
    Department of Biomedical Engineering, Washington University in St. Louis, 1 Brookings Drive, St Louis, MO 63130, USA.
  • Richard Laforest
    Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
  • Thomas H Schindler
    Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Robert J Gropler
    Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Richard L Wahl
    Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri.
  • Barry A Siegel
    Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, 510 S Kingshighway Boulevard #956, St Louis, MO 63110, USA.
  • Abhinav K Jha
    Department of Biomedical Engineering and Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States of America.

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